
Prayas Dixit
Software Engineer Intern

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About me
Recent Graduate @ USC | 3.5 years of experience in Data Science and Engineering | Python, SQL, Predictive Modeling | Data Science Intern @ Pitney Bowes
Education

Bharati Vidyapeeth
2014 - 2018Bachelor of Technology - BTech Computer Engineering 9.0/10.0
University of Southern California
2022 - 2023Master of Science - MS Data Science 3.9/4.0Courses:DSCI 552 - Machine Learning for Data ScienceDSCI 510 - Principles of Programming for Data Science(Python)DSCI 550 - Data Science at ScaleDSCI 551 - Foundations of Data ManagementDSCI 553 - Data MiningCSCI 544- Applied Natural Language Processing
Experience

Zensar Technologies
Apr 2017 - Jul 2017Software Engineer Intern
Infosys
Sept 2018 - May 2021▪ Engineered a Power BI dashboard that provided stakeholders with interactive 6-month fuel price forecasts.▪ Slashed fuel procurement costs by 15% via advanced feature engineering and Recursive Feature Elimination (RFECV).▪ Formulated a statistical ensemble model combining SARIMA and Lasso Regression, achieving a 14% improvement in MAPE.▪ Enhanced forecasting accuracy by optimizing monthly and weekly projections to secure cost-efficient fuel orders. ▪ Revamped a global Power BI dashboard, refining SQL for 16 million records and employing DAX to cut data processing by 20%.▪ Accelerated report generation by enhancing visual analytics, ensuring efficient data handling and user engagement.▪ Improved sales analysis through client-driven custom visuals, fostering innovation and continuous enhancement. ▪ Underwent 4 months rigorous classroom training in modules such as Software Engineering, Software testing, Programming and Database Management System and secured 87% marks in python Assessment.
Senior Systems Engineer(Data Analytics)
Mar 2020 - May 2021Systems Engineer (Data Analytics)
Jan 2019 - Feb 2020Sytems Engineer Trainee
Sept 2018 - Dec 2018
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FirstCry.com (BrainBees Solutions Ltd.)
Jul 2021 - Nov 2021Data Analyst▪ Leveraged Google Cloud BigQuery expertise to execute complex queries, delivering key insights for business growth.▪ Boosted productivity by 12.5% by automating sales reports with Python and Airflow, parsing 15 million customer records.▪ Enhanced report delivery by collaborating on impactful Power BI visuals, based on comprehensive SQL analysis.▪ Pioneered sales strategies, focusing on the top 20% of high-value users with advanced SQL for substantial revenue growth.▪ Achieved a 10% rise in conversion rate and sales by 15% via targeted Customer Cohort Analysis and CLTV computation. Show less

University of Southern California
Aug 2022 - Dec 2023Course Producer(TA) | Machine Learning for Data Science(DSCI 552)
Pitney Bowes
Jun 2023 - nowData Scientist▪ Developed a cross-functional Power BI dashboard to refine debt visualization, showcasing KPIs based on stakeholders’ feedback.▪ Optimized the debt collection process by 10 days by querying 12 million records with SQL and analyzing with Python pandas.▪ Led time series forecasting for top 200 clients, refining ARIMA and Prophet models to accurately project next 6-month costs.▪ Reduced error by 15% for 60% of clients using client-specific logic, bolstering precision with advanced cross-validation.▪ Predicted defaulters using an XGBoost model, attaining a 0.76 AUC score to enhance high-risk customer outreach strategies. Show less
Licenses & Certifications
- View certificate

Applied Machine Learning in Python
CourseraMay 2020 - View certificate

SQL for Data Sciecne
CourseraJul 2020 - View certificate

Mathematics for Machine Learning: Multivariate Calculus
CourseraOct 2020
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